It should be noted that the method for updating multipliers is similar but different to the surrogate subgradient method, which is more robust and stable for accelerating the convergence rate.
大量的测试表明了,在新的更新乘子的公式下,收敛性和稳定性更好。
单词 | Subgradient method |
释义 |
Subgradient method
英语例句库
It should be noted that the method for updating multipliers is similar but different to the surrogate subgradient method, which is more robust and stable for accelerating the convergence rate. 大量的测试表明了,在新的更新乘子的公式下,收敛性和稳定性更好。 In the process of problem solving, we adopt the concept of DOS to assess the network survivability and use the Lagrangean Relaxation method and the subgradient method to approach the optimal solution. 在求解的过程之中,利用“拉格兰日松弛法”与“梯度法”来帮助我们逐渐找到最佳解。
中文百科
次梯度法次梯度法是求解凸函数最优化(凸优化)问题的一种迭代法。次梯度法能够用于不可微的目标函数。当目标函数可微时,对于无约束问题次梯度法与梯度下降法具有同样的搜索方向。 虽然在实际的应用中,次梯度法比内点法和牛顿法慢得多,但是次梯度法可以直接应用于更广泛的问题,次梯度法只需要很少的存储需求。然而,通过将次梯度法与分解技术结合,有时能够开发出问题的简单分配算法。
英语百科
Subgradient method 次梯度法![]() Subgradient methods are iterative methods for solving convex minimization problems. Originally developed by Naum Z. Shor and others in the 1960s and 1970s, subgradient methods are convergent when applied even to a non-differentiable objective function. When the objective function is differentiable, subgradient methods for unconstrained problems use the same search direction as the method of steepest descent. |
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